NCT07451249

Wireless Assessment of Respiratory and Circulatory Distress - Europe

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,240 (estimated)
• Sponsor: Eske Kvanner Aasvang · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

Hospital patient monitoring in Europe is often intermittent, which can delay detection of clinical deterioration during hospitalization and after discharge. The WARD-EU study aims to describe current monitoring practices and to evaluate the feasibility, acceptability, and usability of the WARD-CSS (Wireless Assessment of Respiratory and Circulatory Distress - Clinical Support System), an algorithm-based continuous monitoring system. The study seeks to assess whether WARD-CSS can be integrated into routine hospital and post-discharge care to support earlier detection of patient deterioration and improved patient monitoring.

Detailed description

The WARD-EU study is a multinational, multicentric, mixed-methods observational investigation conducted across four European countries. The study is designed to explore variation in hospital patient monitoring practices and to evaluate the implementation potential of an algorithm-based continuous monitoring system across different healthcare settings. The study consists of two sequential phases. Phase 1 (pre-implementation) focuses on mapping existing monitoring practices for adult patients admitted for medical or surgical conditions with an expected hospital stay of at least two days. Data will be collected using structured questionnaires administered to patients and nursing staff to characterize monitoring frequency, workflows, perceived safety, and user experience within participating healthcare systems. Phase 2 (post-implementation) evaluates the integration of the WARD-CSS (Wireless Assessment of Respiratory and Circulatory Distress - Clinical Support System) into routine clinical practice. WARD-CSS combines wearable wireless sensors for continuous vital sign monitoring with an application incorporating clinically modelled algorithms designed to detect early signs of respiratory and circulatory deterioration while reducing unnecessary alerts. During this phase, the system will be used for in-hospital monitoring and, where feasible, extended to post-discharge home monitoring. Data collection in Phase 2 will include questionnaires from healthcare professionals and patients to assess usability, feasibility, and acceptability of the system, as well as descriptive analysis of system-generated vital sign data, monitoring adherence, and measurement frequency. Complications occurring within 30 days following hospital discharge will be recorded. Qualitative feedback will be used to identify facilitators and barriers to implementation, including technological challenges, workflow integration, and patient compliance, particularly in home-monitoring settings. The study will enroll adult patients and healthcare professionals from participating centers. Participants may be involved during hospitalization and, for selected patients, during home monitoring following discharge, with follow-up up to 30 days. Data will be analyzed descriptively using appropriate parametric and non-parametric methods to identify patterns and variability across countries and care settings. The study will be conducted in accordance with the Clinical Study Protocol, ICH-GCP, ISO 14155, the Declaration of Helsinki, and applicable national regulatory requirements. Ethics approval will be obtained from relevant committees in all participating countries, and data handling will comply with the General Data Protection Regulation and local data protection laws.

Conditions

• Patient Deterioration
• Patient Monitoring
• Clinical Deterioration

Interventions

Type	Name	Description
DEVICE	WARD-CSS (Wireless Assessment of Respiratory and Circulatory Distress - Clinical Support System)	Participants in Phase 2 will be monitored using the WARD-CSS system, which combines wearable wireless vital sign sensors with an application that applies clinically modeled algorithms to detect early signs of respiratory and circulatory deterioration. The system provides real-time data to healthcare professionals, reduces unnecessary alerts, and supports both in-hospital and, where feasible, post-discharge home monitoring.

Timeline

• Start date: 2026-03-16
• Primary completion: 2027-12-01
• Completion: 2028-06-01
• First posted: 2026-03-05
• Last updated: 2026-03-05

Locations

5 sites across 4 countries: Denmark, Netherlands, Poland, Portugal